Journal: Advanced Science

Article Title: NDST3‐Induced Epigenetic Reprogramming Reverses Neurodegeneration in Parkinson's Disease

doi: 10.1002/advs.202507323

Figure Lengend Snippet: Identification of regenerating factor as a regulator of therapeutic genes for Parkinson's disease therapy. A) Conceptual diagram outlining the basis of an epigenetic regulator. B) Comparative gene expression heatmap of substantia nigra (SN) in wild type control versus 6‐OHDA‐induced Parkinson's disease (PD) mouse model. C) Heatmap showing gene expression profiles in the caudate and putamen regions of healthy individuals (HI) and a cohort of human PD patients. BG: Basal Ganglia. D) Immunofluorescence images showing TUJ1‐ and MAP2‐positive cells under each condition. Scale bar = 50 µm. E) Immunochemistry and Sholl analysis of TH‐labeled neurons. Left panel: morphology of individual neurons. Right panel: Sholl analysis showing the number of neurite intersections as a function of distance from the soma. Scale bar = 100 µm. The data are presented as mean ± SEM ( n = 5 – 6 cells per group). F) Representative traces of action potentials evoked by depolarizing current injections under each condition (sham, 6‐OHDA, 6‐OHDA+NDST3). G) Dot plot showing the top 14 GO Biological Process terms from enrichment analyses: 6‐OHDA versus Sham (left side) and 6‐OHDA+NDST3 versus 6‐OHDA (right side). H) Pearson correlation matrix of transcriptomic among samples.

Article Snippet: Slices were incubated with primary antibodies targeting dopaminergic neuron markers TH (Merck Millipore, AB152, Lot# 4127053; Merck Millipore, MAB318, Lot#3990619), GIRK2 (Abcam, ab259909, Lot# GR3401320‐4), NDST3 (Novus Biologicals, NBP2‐19501, Lot# 40723), DAT (Merck Millipore, MAB369) and histone modification marker H3K27ac (Abcam, AB4729, Lot# 1059037‐6).

Techniques: Gene Expression, Control, Immunofluorescence, Labeling

Journal: Advanced Science

Article Title: NDST3‐Induced Epigenetic Reprogramming Reverses Neurodegeneration in Parkinson's Disease

doi: 10.1002/advs.202507323

Figure Lengend Snippet: Therapeutic efficacy of NDST3 and retrograde tracing with CTB in mice. A) Schematic diagram of in vivo experimental design involving CTB injection in the PD mouse model. B) Representative immunofluorescence images of CTB, TH, and NDST3 expression in the SN of Sham, 6‐OHDA‐induced PD mice, and NDST3‐treated PD mice. Scale bar = 50 µm and 10 µm (Magnified image). C) Quantification of CTB‐, TH‐, and NDST3‐positive cells shown in Figure . Data are presented as mean ± SEM ( n = 6 independent animals per group). One‐way ANOVA with Tukey's multiple comparisons test. ** p < 0.01, *** p < 0.001, **** p < 0.0001, and ns = not significant. D) Immunofluorescence images showing GIRK2‐ and TH‐positive cells in the Sham, 6‐OHDA‐induced PD mice, and NDST3‐treated PD mice. Scale bar = 50 µm and 10 µm (Magnified image). E) 3D Z‐stack analysis (IMARIS) of TH‐positive neurons obtained via confocal microscopy. F) DAB‐DAT staining in the SN.

Article Snippet: Slices were incubated with primary antibodies targeting dopaminergic neuron markers TH (Merck Millipore, AB152, Lot# 4127053; Merck Millipore, MAB318, Lot#3990619), GIRK2 (Abcam, ab259909, Lot# GR3401320‐4), NDST3 (Novus Biologicals, NBP2‐19501, Lot# 40723), DAT (Merck Millipore, MAB369) and histone modification marker H3K27ac (Abcam, AB4729, Lot# 1059037‐6).

Techniques: Drug discovery, Retrograde Tracing, In Vivo, Injection, Immunofluorescence, Expressing, Confocal Microscopy, Staining

Journal: Advanced Science

Article Title: NDST3‐Induced Epigenetic Reprogramming Reverses Neurodegeneration in Parkinson's Disease

doi: 10.1002/advs.202507323

Figure Lengend Snippet: Efficacy and electrophysiological properties of NDST3 in chemical‐induced PD model. A) Representative traces of spontaneous firing currents recorded from DA neurons of the SNpc in brain slices from each group. B) Cumulative fractions curves showing shortened inter‐event intervals, indicating a higher frequency of spontaneous firing in the 6‐OHDA + NDST3 group compared to the 6‐OHDA group. The inner bar graph showed mean inter‐event intervals in the ipsilateral of SNpc of each group. Data are presented as mean ± SEM ( n = 6 – 8 independent animals per group). One‐way ANOVA with Tukey's multiple comparisons test. *** p < 0.001. C) Quantification of DA neuronal firing rates in the ipsilateral SNpc of each group. The data are presented as mean ± SEM ( n = 6–8 independent animals per group). One‐way ANOVA with Tukey's multiple comparisons test. * p < 0.05, and ** p < 0.01. D) Representative in vivo recording traces from the SNpc of live animals in each condition. E) Instantaneous firing frequencies during the recorded period. ( n = 4–6 independent animals per group; repeated measures) Two‐way ANOVA with Tukey's multiple comparisons test, * p < 0.05. F) Comparison of action potential waveforms among DA neurons across conditions. G) Representative image of DAB‐TH staining in ST and SN. Scale bar = 1 mm. H) Immunofluorescence images showing GIRK2‐ and TH‐positive cells in the Sham, MPTP‐induced PD mice, NDST3‐treated PD mice, and NDST3 only‐treated mice. Scale bar = 50 µm and 10 µm (Magnified image). I) Error count during the challenging beam traversal test for each experimental condition. The data are presented as mean ± SEM. ( n = 7 – 8 independent animals per group) Two‐way ANOVA with Tukey's multiple comparisons test. **** p < 0.0001. J) Errors per step during the challenging beam traversal test across conditions. The data are presented as mean ± SEM ( n = 7 – 8 independent animal per group). One‐way ANOVA with Tukey's multiple comparisons test. **** p < 0.0001. K) Fall latency in the wire‐hanging test. The data are presented as mean ± SEM ( n = 7–8 independent animals per group). One‐way ANOVA with Tukey's multiple comparisons test. *** p < 0.001 and **** p < 0.0001. L) Time to orient downward (T‐turn) and M) time to descend to the base (T‐total). The data are presented as mean ± SEM ( n = 7–8 independent animals per group). One‐way ANOVA with Tukey's multiple comparisons test. * p < 0.05, *** p < 0.001 and **** p < 0.0001.

Article Snippet: Slices were incubated with primary antibodies targeting dopaminergic neuron markers TH (Merck Millipore, AB152, Lot# 4127053; Merck Millipore, MAB318, Lot#3990619), GIRK2 (Abcam, ab259909, Lot# GR3401320‐4), NDST3 (Novus Biologicals, NBP2‐19501, Lot# 40723), DAT (Merck Millipore, MAB369) and histone modification marker H3K27ac (Abcam, AB4729, Lot# 1059037‐6).

Techniques: In Vivo, Comparison, Staining, Immunofluorescence

Journal: Advanced Science

Article Title: NDST3‐Induced Epigenetic Reprogramming Reverses Neurodegeneration in Parkinson's Disease

doi: 10.1002/advs.202507323

Figure Lengend Snippet: Molecular mechanisms of NDST3 in the PD model. A) One‐way hierarchical clustering heatmap based on Z‐score of normalized expression value for 5629 genes selected with fold change ≥ 2 and raw p ‐value < 0.05. B) Principal component analysis (PCA) analysis of RNA‐seq data to visualize sample‐to‐sample variation. C) Volcano plot showing differentially expressed genes between 6‐OHDA and Sham group; Down‐regulated genes marked in blue. D) Volcano plot showing differentially expressed genes between 6‐OHDA+NDST3 and 6‐OHDA; Up‐regulated genes marked in red. E) Dot plot of top 14 GO cellular component terms from GO enrichment analyses: 6‐OHDA+NDST3 versus 6‐OHDA. Heatmap showing gene expression patterns in F) pre‐synaptic neurons, G) post‐synaptic neurons, and H) glia compartments. I) UMAP visualizing cluster identity. J) UMAP representation comparing cellular composition in 6‐OHDA and 6‐OHDA+NDST3. K) Branched trajectory analysis illustrating cell state transitions in a 2D state‐space, where each dot represents a single cell, color‐coded by group identity.

Article Snippet: Slices were incubated with primary antibodies targeting dopaminergic neuron markers TH (Merck Millipore, AB152, Lot# 4127053; Merck Millipore, MAB318, Lot#3990619), GIRK2 (Abcam, ab259909, Lot# GR3401320‐4), NDST3 (Novus Biologicals, NBP2‐19501, Lot# 40723), DAT (Merck Millipore, MAB369) and histone modification marker H3K27ac (Abcam, AB4729, Lot# 1059037‐6).

Techniques: Expressing, RNA Sequencing, Gene Expression, Single Cell

Journal: Advanced Science

Article Title: NDST3‐Induced Epigenetic Reprogramming Reverses Neurodegeneration in Parkinson's Disease

doi: 10.1002/advs.202507323

Figure Lengend Snippet: Comprehensive analysis of spatial transcriptomics and epigenetic modulation following NDST3 treatment in a PD model. A) Heatmap showing gene expression patterns in each cluster. ** p < 0.01, and **** p < 0.0001. B) Gene concept network plot displaying genes enriched in catabolic, metabolic, and wound healing GO categories. The top 30 most differentially expressed genes comparing 6‐OHDA versus Sham and 6‐OHDA+NDST3 versus 6‐OHDA. Node color intensity represents the log2 fold‐change of gene expression. C) Cell‐cell communication network plot illustrating interactions among three distinct cell clusters in 6‐OHDA‐induced PD model (left panel) and NDST3‐treated PD model (right panel), based on ligand–receptor pair probabilities using the CellChat database. Line thickness indicates proportionality to the number of interactions. D) Spatial localization of dopamine‐related markers. E) Spatial mapping of dopaminergic lineage markers identified via scRNA‐Seq. F) Heatmap visualization of CUT&RUN and ATAC‐Seq signal intensity ±2 kb around the TSS. G) Immunofluorescence images showing H3K27ac and TH‐positive cells in the Sham, 6‐OHDA‐induced PD mice, and NDST3‐treated PD mice. Scale bar = 50 µm. H) Venn diagram illustrating overlapping genes among DEGs from RNA‐Seq, scRNA‐Seq Cluster 9, CUT&RUN peak, and ATAC‐Seq peak. Average signal plot of I) CUT&RUN and J) ATAC‐seq signals at over‐enriched TSS regions of the Ncoa7 gene. K) Structure of NDST3‐NCOA7‐H3K27ac complex. Blue – NDST3, Green – NCOA7, and Red – H3K27ac. The yellow boundary represents the interaction region.

Article Snippet: Slices were incubated with primary antibodies targeting dopaminergic neuron markers TH (Merck Millipore, AB152, Lot# 4127053; Merck Millipore, MAB318, Lot#3990619), GIRK2 (Abcam, ab259909, Lot# GR3401320‐4), NDST3 (Novus Biologicals, NBP2‐19501, Lot# 40723), DAT (Merck Millipore, MAB369) and histone modification marker H3K27ac (Abcam, AB4729, Lot# 1059037‐6).

Techniques: Spatial Transcriptomics, Gene Expression, Immunofluorescence, RNA Sequencing

Journal: Advanced Science

Article Title: Single Cell and Spatial Transcriptomics Define a Proinflammatory and Profibrotic Niche After Kidney Injury

doi: 10.1002/advs.202503691

Figure Lengend Snippet: Single‐cell and spatial transcriptome landscape of healthy and fibrotic kidneys after unilateral ischemia‐reperfusion injury (UIRI). a) Schematic representation of single‐cell RNA sequencing (scRNA‐seq) and spatial transcriptomics (ST) of kidneys from the sham and 10‐day UIRI mice, graphically designed with Biorender ( https://www.biorender.com/ ). b) t‐SNE plot illustrating the intricate cellular diversity in fibrotic kidneys, demonstrating distinct clusters representing glomerular endothelial cells (GEC), podocytes (Podo), mesangial cells (Mesa), Bowman's capsule epithelium (BC), proximal tubules (PT), descending limbs of Henle (DLOH), ascending limbs of Henle (ALOH), distal tubules (DT), principal cells (PC), intercalated cells (IC), fibroblasts (Fib), smooth muscle cells (SMC), extraglomerular endothelial cells (EGEC), monocytes (Mono), dendritic cells (DC), macrophages (Mϕ), plasmacytoid dendritic cells (pDC), proliferating mononuclear lineage (Prolif mono_L), and neutrophils (Neu), B cells (B), T cells (T), proliferating T cells (prolif T), and natural killer cells (NK). These cell types were further categorized into four major compartments: Glomerular, Renal, Interstitium, and Immune, as indicated by color grouping in the plot. c) Bubble plot illustrating the relative proportions of major kidney cell types in sham and UIRI samples. Each dot represents the proportion of a given cell type in a specific sample group, with dot size corresponding to its relative proportion. d) A comprehensive heatmap depicting the unique marker gene signature of major renal cell types. e) UMAP plot illustrating the inferred renal cell region distribution based on integrated spatial transcriptomics data from normal (Sham) and UIRI 10D mouse kidneys, generated using the 10x Genomics Visium platform. The identified regions include glomerular cells (Glom), distinct segments of the proximal tubule (PTS1, PTS1S2, PTS2), injured proximal tubules (InjPT), ascending limbs of Henle in cortex (ALOH(C)), distal tubules (DT), connecting tubules and collecting ducts (CNT_CD), cells at the corticomedullary junction (CMJ), fibrogenic niche regions (Niche1, Niche2), the inner stripe of the outer medulla (IOM), inner medulla (IM), renal capsule (RC), and perirenal tissue (Perirenal). f) Spatial maps illustrating the anatomical distribution of renal cell regions in Sham and UIRI 10D mouse kidneys. Region colors correspond to the classifications defined in panel (e). g) Bubble plot illustrating the relative proportions of major renal cell regions in spatial transcriptomics data from sham and UIRI 10D mouse kidneys. h) Bubble plot depicting the expression patterns of marker genes across distinct renal cell regions in spatial transcriptomics data. Dot color indicates the average gene expression level within each region, while dot size represents the proportion of spatial spots expressing the gene. i) Schematic diagram of nephron segmentation by cell types. j) Comparison of kidney anatomical regions and spatial transcriptomic clusters, showing clusters in kidney tissue (top) and the corresponding Visium H&E‐stained section (bottom). k) Renal tissue structure alterations at the corticomedullary junction (CMJ) in UIRI samples, showing the formation of two distinct fibrogenic niches, Niche1 and Niche2. l) A heatmap showing the deconvolution scores of cell type compositions across different regions in Visium spatial transcriptomics data, obtained using the RCTD method. m) Spatial FeaturePlots of RCTD‐derived cell type scores in the sham (top) and UIRI (bottom) groups, with paired panels sharing a common legend.

Article Snippet: For the preparation of sections for Visium Spatial Transcriptomics sequencing, samples were equilibrated at −18 °C and a 10 μm thick section was cut onto the active sequencing area (6 mm x 6 mm) of a spatial barcoded slide.

Techniques: RNA Sequencing, Marker, Generated, Expressing, Gene Expression, Comparison, Staining, Derivative Assay

Journal: Advanced Science

Article Title: Single Cell and Spatial Transcriptomics Define a Proinflammatory and Profibrotic Niche After Kidney Injury

doi: 10.1002/advs.202503691

Figure Lengend Snippet: High‐resolution spatial transcriptomics and immunostaining reveal the TNC‐enriched fibroblast‐macrophage niche organization in fibrotic kidneys. a) Schematic diagram of the Visium HD workflow applied to kidney tissues from sham and UIRI model mice. b) UMAP visualization of integrated Visium HD spatial transcriptomics data from control mice (obtained from the 10x Genomics public dataset) and UIRI mice (this study), processed using canonical correlation analysis (CCA). This dimensionality reduction visualization reveals distinct clusters representing various renal parenchymal and stromal cell populations, including: Glomerulus, Vasculature, PTS1, PTS2, PTS1S2, InjPT, ascending limbs of Henle in cortex [ALOH(Cortex)], distal tubule and connecting tubule (DT_CNT), connecting tubule and collecting duct (CNT_CD), collecting duct in cortex [CD(Cortex)], PTS3, injured PTS3 (InjPTS3), Fibrogenic Niche, Vasa recta, loop of Henle in outer medulla [LOH(IOM)], collecting duct in outer medulla [CD(IOM)], collecting duct in inner medulla [CD(IM)], thin ascending limbs of Henle in inner medulla [tALOH(IM)], renal capsule (RC), Perirenal Fibrous tissue, and Perirenal Adipose tissue. c) Bubble plot comparing the regional distribution in Control versus UIRI 10d kidneys (Visium HD). d) Bubble plot depicting the expression patterns of marker genes across distinct renal cell regions in Visium HD data. e) Spatial maps generated using Visium HD illustrate the inferred anatomical distribution of renal cell regions in kidney tissues from Control and UIRI mice. f) Spatial Feature Plots of Visium HD data showing the spatial distribution of selected renal cell types in controls (top) and UIRI mice (bottom), based on cell‐type deconvolution using RCTD. g) A heatmap showing the correlation between NMF factors and cell‐type deconvolution scores in standard Visium spatial transcriptomics data. h) Spatial distribution of gene scores associated with the NMF factors most correlated with the fibrogenic niche, along with the contribution of key genes to each factor. i) Spatial FeaturePlots showing the anatomical distribution of Tnc expression in standard Visium. j) A heatmap showing the correlation between NMF factors and cell type deconvolution scores in Visium HD spatial transcriptomics data. k) Spatial distribution of NMF factors (NMF3 and NMF11) associated with the fibrogenic niche in Visium HD data, along with their corresponding high‐contributing genes. l) Spatial FeaturePlots showing the anatomical distribution of Tnc expression in Visium HD datasets. m) Immunofluorescence staining demonstrates colocalization of TNC with macrophages (F4/80⁺) in the CMJ interstitial region. From top to bottom: an overview merged image (Merge), followed by magnified views of TNC, Vimentin, and F4/80 staining in the same region, and an enlarged merged image (Enlarged Merge) at the bottom.

Article Snippet: For the preparation of sections for Visium Spatial Transcriptomics sequencing, samples were equilibrated at −18 °C and a 10 μm thick section was cut onto the active sequencing area (6 mm x 6 mm) of a spatial barcoded slide.

Techniques: Immunostaining, Control, Expressing, Marker, Generated, Immunofluorescence, Staining

Journal: Advanced Science

Article Title: Single Cell and Spatial Transcriptomics Define a Proinflammatory and Profibrotic Niche After Kidney Injury

doi: 10.1002/advs.202503691

Figure Lengend Snippet: TLR4 knockout in macrophages attenuates renal inflammation and renal fibrosis in vivo. a) The diagram shows the experimental protocol. Bone marrow chimera models were established by transplanting the WT bone marrow to WT mice, or TLR4 KO bone marrow to WT mice. Mice were irradiated at a single dose of 1100 Rads and then underwent bone marrow transplantation. After 8 weeks of successful transplantation, a unilateral ischemia‐reperfusion (UIRI) model was established. b) PCR‐based identification of kidney genotypes in the recipient mice of bone marrow transplantation models using TLR4 mutation site primers and wild‐type site primers, respectively. c,d) Graphic presentations show serum creatinine (Scr) (c) and blood urea nitrogen (BUN) (d) levels in different groups as indicated at 11 days after IRI. * p < 0.05 versus WT‐WT (n = 4–6). e,f) Western blot analyses show renal expression of TLR4, p‐P65, and P65 in different groups as indicated. Representative Western blot (e) and quantitative data (f) are shown. * p < 0.05 versus WT‐WT (n = 4–6). g) Representative micrographs show renal expression and co‐localization of TLR4 and F4/80 by immunofluorescence staining in different groups as indicated. The areas between the dashed lines represent the corticomedullary junction of the kidney. h,i) Western blot analyses show renal expression of MR, Arg‐1, iNOS, TNF‐α, and CCL2 in different groups as indicated. Representative Western blot (h) and quantitative data (i) are shown. * p < 0.05 versus WT‐WT (n = 4–6). j,k) Western blot analyses show renal expression of TNC, FN, and α‐SMA in different groups as indicated. Representative Western blot (j) and quantitative data (k) are shown. * p < 0.05 versus WT‐WT (n = 4–6). l) A schematic diagram shows a crucial role of TNC in organizing the proinflammatory and profibrotic niche. By integrating single‐cell RNA sequencing and spatial transcriptomics, we unveil TNC as a central organizer of the proinflammatory and profibrotic niche in kidney fibrosis. TNC promotes macrophage activation through TLR4/NF‐κB signaling, leading to macrophage activation, proliferation, and cytokine production.

Article Snippet: For the preparation of sections for Visium Spatial Transcriptomics sequencing, samples were equilibrated at −18 °C and a 10 μm thick section was cut onto the active sequencing area (6 mm x 6 mm) of a spatial barcoded slide.

Techniques: Knock-Out, In Vivo, Irradiation, Transplantation Assay, Mutagenesis, Western Blot, Expressing, Immunofluorescence, Staining, RNA Sequencing, Activation Assay

Journal: Immunity

Article Title: Positioning and reversible suppression of CCR7 + dendritic cells in perivascular tumor niches shape cancer immunity

doi: 10.1016/j.immuni.2025.11.020

Figure Lengend Snippet: (A) Representative images and quantification of CCR7 + DCs (panCK − HLA-DR + LAMP3 + , yellow) near BVs (CD31 + PDPN − , magenta), or LVs (CD31 + PDPN + , cyan) in human tumors (HNSCC, NSCLC, and EC). Scale bar represents 20 μm. Whole-tumor sections were analyzed for EC and NSCLC. Numbers of fields of view (FOVs) analyzed per HNSCC sample are as follows: HNSCC1–04 n = 7; HNSCC1–06 n = 16; HNSCC1–07 n = 11; HNSCC2–01 n = 126; HNSCC2–06 n = 455; HNSCC2–09 n = 180; HNSCC2–11 n = 122; HNSCC2–12 n = 79; HNSCC2–15 n = 205; HNSCC2–26 n = 293; HNSCC2–35 n = 175. One bar = one patient . (B) Representative images and quantification of CCR7 + DCs (FSCN1 + ; yellow) located near BVs (CD31 + LYVE-1 − ; magenta) or LVs (CD31 + LYVE-1 + ; cyan) in mouse tumors (MC38, B16F10, and D4M3.A-OVA). Scale bar represents 10 μm. Whole-tumor sections were analyzed. One bar = one mouse. (C) Frequencies of BV-, LV- and non-vessel-associated CCR7 + DCs in mouse MC38 tumors 3 days post anti-CD40 or anti-PD-1 treatment. Whole-tumor sections were analyzed. One bar = one mouse. (D) (Left) Representative images of CCR7 + DCs (FSCN1 + ; yellow) located near BVs (CD31 + LYVE-1 − ; magenta) in MC38 tumors inoculated in Ccr7 ko/wt and Ccr7 ko/ko mice, 3 days post anti-PD-1 treatment. (Right) Distribution of the area of CCR7 + DC surfaces in clusters relative to their distance to closest BVs and plotted as percentage of total CCR7 + DC cluster area. CCR7 + DC surfaces from clusters associated with LVs and those not in clusters were excluded from the analysis. Scale bar represents 20 μm. Whole-tumor sections were analyzed. One dot = average value of all clusters in each genotype ( Ccr7 ko/ko n = 5 mice, 56 clusters; Ccr7 wt /ko n = 6 mice, 28 clusters; and Ccr7 wt /wt n = 3 mice, 19 clusters). Two-way ANOVA with multiple comparisons, mean with SEM; **** p < 0.0001 for comparison at 10 and 20 μm from closest BVs. (E) (Left) Representative images of CCR7 + DCs (FSCN1 + ; yellow) located near BVs (CD31 + LYVE-1 − ; magenta) and Ccl19 ( Ccl19 -eYFP + Tomato + ; white) in Ccl19 -ieYFP reporter mice (left image) or CCL21 (white, right image) in MC38 tumors. (Right) Frequencies of perivascular CCR7 + DC clusters associated with Ccl19 -covered BVs or within CCL21 + areas of the tumors among total perivascular CCR7 + DC clusters. Scale bar represents 20 μm. Whole-tumor sections were analyzed. One dot = one mouse. Unpaired t test, mean with SEM; *** p < 0.001. (F) (Left) Representative images of CCR7 + DCs (FSCN1 + ; yellow) located near BVs (CD31 + LYVE-1 − ; magenta) in MC38 tumors inoculated in Ccl19 wt/wt and Ccl19 ko/ko mice, 2 days post anti-PD-1treatment. (Right) Quantification of BV- or LV-associated CCR7 + DC clusters in MC38 tumors from Ccl19 wt/wt and Ccl19 ko/ko mice. Scale bar represents 20 μm. Whole-tumor sections were analyzed. One dot = one mouse, whiskers represent min to max. Unpaired t test; * p < 0.05. (G) Heatmap depicts log 2 -transformed averaged expression of Ccl19 in indicated immune and non-immune populations in the TME of multiple mouse tumor models (breast, , lung [and GSE201247 ], and pancreatic , ). (H) (Left) Synthetic images of CCR7 + DCs (yellow), blood endothelial cells (BECs; magenta), lymphatic endothelial cells (LECs; cyan), and CCL19 + fibroblasts (green) in one representative NSCLC patient analyzed by spatial transcriptomics. (Right) Box plots depict the enrichment scores of CCL19 + fibroblasts within the neighborhood of BV-associated CCR7 + DCs, in four human NSCLC. Data are shown for both permuted (median enrichment scores from 1,000 permutations) and observed datasets. Scale bar represents 20 μm. Whole-tumor sections were analyzed. One dot = one sample. Paired t test, whiskers represent mean to max; * p < 0.05. (I) Heatmap depicts log 2 -transformed averaged expression of CCL19 in indicated immune and non-immune populations in the TME of multiple human cancer types (HNSCC, n = 40, n = 18 patients; CRC, n = 23, n = 64 patients; ESCC, n = 58 patients ; NSCLC, n = 32, n = 7 patients; BRCA, n = 29 patients ; and PRCA, n = 18 patients ). A cross indicates that the cellular population was not detected. See also – .

Article Snippet: InVivoMAb anti-mouse CD40 (clone FGK45) , BioXcell , Cat#BE0016-2.

Techniques: Comparison, Transformation Assay, Expressing, Spatial Transcriptomics

Journal: Immunity

Article Title: Positioning and reversible suppression of CCR7 + dendritic cells in perivascular tumor niches shape cancer immunity

doi: 10.1016/j.immuni.2025.11.020

Figure Lengend Snippet: (A) (Left) Scheme outlining the experimental setup for bulk RNA-seq analyses of tumor-derived CCR7 + DCs. (Right) GO pathway enrichment analyses performed on differentially expressed genes (DEGs) in CCR7 + DCs in MC38 tumors ( n = 4) from Treg-depleted ( FoxP3 -DTR) compared with Treg-sufficient (WT) mice. Bar plot indicates the −log 10 raw binomial p -values of the top 10 most enriched pathways in CCR7 + DCs. (B) (Left) Experimental setup for ex vivo stimulation of OT-I CD8 + T cells with tumor CCR7 + DCs. (Right) Percentage of OT-I CD8 + T cells that proliferated after 5-day culture with OVA 257–264 peptides-loaded CCR7 + DCs isolated from WT or Treg-depleted tumors. As a control, CCR7 + DCs without OVA 257–264 peptides were used. Two-way ANOVA with multiple comparisons, whiskers represent min to max; ** p < 0.01. (C) (Left) Relative gene expression levels analyzed by bulk RNA-seq. Each dot represents one mouse ( n = 4), whiskers represent mean to max. Unpaired t test with multiple comparisons; * p < 0.05. (Right) Representative histogram of CD40 protein expression and relative mean fluorescence intensity (MFI) measured by FACS and expressed both as normalized values and absolute MFI. Each dot represents one mouse ( n = 18), whiskers represent min to max. Unpaired t test; ** p < 0.01. (D) Analyses of cDCs in tumor-draining lymph nodes. Absolute cell counts (left, n = 10) and MFI of CD40 expression (right, n = 18) measured by FACS in migratory cDCs (CCR7 + CD8α − ) from WT or Treg-depleted mice. Whiskers represent mean to max. (E) (Left) Experimental setup for ex vivo analyses of tumor CCR7 + DCs isolated from anti-PD-1-treated mice that received or not αCD25 NIB mAbs. (Right) CD40 protein expression measured by FACS and expressed both as normalized values and absolute MFI. Each dot represents one mouse ( n = 4 WT and n = 6 FoxP3-DTR), whiskers represent min to max. Unpaired t test; ** p < 0.01. (F) (Left) Overall survival analyses of MC38 tumor-bearing mice treated, or not treated, with αPD-1 and αCD25 NIB mAbs, and in which CD4 + or CD8 + cells were depleted or not ( n = 8 or 9 mice/group). Log-rank Mantel-Cox test; * p < 0.05, *** p < 0.001, and *** p < 0.0001. (Right) Percentage of tumor-free mice on day 60 in the indicated treatment groups. (G) (Left) Experimental setup for ex vivo stimulation of OT-I CD8 + T cells with tumor CCR7 + DCs as in (B). The DCs were obtained from mice receiving anti-PD-1 immunotherapy and that were treated or not with αCD25 NIB mAbs. (Right) Percentage of OT-I CD8 + T cells that proliferated after 5-day culture with OVA 257–264 peptide-loaded CCR7 + DCs. Each dot represents one mouse ( n = 8 and n = 7), whiskers represent min to max. Two-way ANOVA with multiple comparisons; * p < 0.05. (H) (Left) Scheme outlining bone marrow chimeras with inducible Cd40 -deficiency in cDCs and the treatment schedule. (Right) Growth curves of MC38 tumors inoculated in zDC iDTR : Cd40 WT and zDC iDTR : Cd40 KO bone marrow chimeras treated with αPD-1, αCD25 NIB , or αPD-1 + αCD25NIB combination ( n = 8–10 mice/group). Mean with SEM. Two-way ANOVA with multiple comparisons; * p < 0.05 and **** p < 0.0001. See also and .

Article Snippet: InVivoMAb anti-mouse CD40 (clone FGK45) , BioXcell , Cat#BE0016-2.

Techniques: RNA Sequencing, Derivative Assay, Ex Vivo, Isolation, Control, Gene Expression, Expressing, Fluorescence

Journal: Nature Communications

Article Title: Multiplex gene-editing strategy to engineer allogeneic EGFR-targeting CAR T-cells with improved efficacy against solid tumors

doi: 10.1038/s41467-025-66737-1

Figure Lengend Snippet: a Flow cytometry staining of H226 tumor cells in vitro for CD73 expression. Isotype control (gray), anti-CD73 antibody (pink). b Immunofluorescent micrographs of H226 tumors resected from NCG mice 46 days post-implantation. Nucleated cells (DAPI, blue), hypoxia (Hypoxyprobe, green) and CD73 (pink). Representative images from four individual tumors from 10 to 20 different cutting surfaces. c Quantification of hypoxia in various tumor regions within resected H226 tumors from NCG mice determined by mean fluorescence intensity (MFI) of Hypoxyprobe. Representative image of a resected tumor section; quantification was performed across 6 independent slides (3 tumors per slide from individual mice) with an average of 13.5 regions of interest (ROI) analyzed per slide. d Spatial transcriptomics gene expression analysis from hypoxic regions in ( c ) (white = low hypoxia, light green = medium hypoxia, dark green = high hypoxia). Boxplots show the median (line), interquartile range (box), and whiskers extending to values within 1.5× the IQR. e 2 × 10 6 UTD T cells (white, n = 5 individual mice) or unedited (gray, n = 5 individual mice) and A 2A R-KO (red, n = 5 individual mice) CAR T-cells injected I.V. into H226 tumor-bearing NCG mice. Group average of tumor volumes measured via calipers over time (Two-sided Mann–Whitney t-test, n = group average of individual mice, mean ± SEM, P** = 0.0079, P** = 0.0072). f Cumulative tumor burden, calculated as area under the curve, from ( e ) (Two-sided Mann–Whitney t-test, n = average of individual mice as above, mean ± SD, n.s. = 0.0556, P** = 0.00379). g 2 × 10 6 UTD T cells (white, n = 5 individual mice) or unedited (gray, n = 5 individual mice) and A 2A R-KO (red, n = 5 individual mice) CAR T-cells injected I.V. into A549 tumor-bearing NCG mice. Group average of tumor volumes measured via calipers over time (Graph represents group mean ± SD, P** = 0.0072). h Cumulative tumor burden, calculated as area under the curve, from ( g ). (Two-sided Mann–Whitney t-test, n = average of individual mice as above, mean ± SD, n.s. = 0.490, P** = 0.0037). For all data, symbols and error bars reflect individual biological replicates and group mean ± S.E.M. e – h Mann–Whitney t-test performed to calculate statistical significance, ** P < 0.01, * P < 0.05.

Article Snippet: Spatial transcriptomics sequencing data generated in this study has been deposited in the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) database under BioProject accession number PRJNA1299304.

Techniques: Flow Cytometry, Staining, In Vitro, Expressing, Control, Fluorescence, Gene Expression, Injection, MANN-WHITNEY

Journal: Clinical and Translational Medicine

Article Title: Novel cancer‐associated secretory cells and IL‐1β + macrophages as key players in early lung adenocarcinoma progression in female never‐smokers

doi: 10.1002/ctm2.70433

Figure Lengend Snippet: Cancer‐associated secretory (CAS) cells originated from alveolar type 2 (AT2) cells. (A) Principal component analysis (PCA) plot of alveolar type 1 (AT1), AT2 and CAS cells in the solid component of tumour (S) and ground‐glass component of tumour (GG) regions, with lines representing the inferred trajectories. Each dot represents a single cell and is coloured according to cell type. Lines indicate inferred trajectories, estimated using Slingshot. (B) PCA plots of single‐cell transcriptomes, with cells (dots) coloured by region (GG vs. S) (top) and patient (bottom). (C) Pseudotime analysis depicting the gene expression dynamics of surfactant protein A1 (SFTPA1) (AT2 marker), advanced glycation end‐product specific receptor (AGER) (AT1 marker), secretoglobin family 3A member 2 (SCGB3A2) (CAS marker) and carcinoembryonic antigen‐related cell adhesion molecule 6 (CEACAM6) (CAS marker) along the inferred trajectory. The black line and points represent lineage 1 (AT2 to AT1), while the red line and points represent lineage 2 (AT2 to CAS). (D) Violin plots showing the expression levels of carcinoembryonic antigen‐related cell adhesion molecule 5 (CEACAM5), CEACAM6 and serine peptidase inhibitor Kazal type 1 (SPINK1) across different samples in CAS cell types from single‐cell RNA sequencing (scRNA‐seq). (E) Box plots displaying normalised expression levels of SFTPA1, SCGB3A2, CEACAM5, CEACAM6 and SPINK1 across different components (N, GG and S, n = 7, respectively) in whole‐transcriptome sequencing analysis. The Kruskal–Wallis test was performed. (F) Box plots showing the normalised expression levels of SFTPA1, SCGB3A2, CEACAM5, CEACAM6 and SPINK1 across normal (N, n = 23) and cancer (C, n = 34) tissues from a study by Zhang et al. (2020). Wilcox statistical significance is indicated by p ‐values. PSN, part‐solid nodule; SCGB3A1, secretoglobin family 3A member 1.

Article Snippet: Analyses included whole‐exome sequencing (WES) and whole‐transcriptome sequencing (WTS) ( n = 7), single‐cell RNA sequencing ( n = 4) and spatial transcriptomics ( n = 1, SMC‐19) (Figure ).

Techniques: Gene Expression, Marker, Expressing, RNA Sequencing, Sequencing

Journal: Nature Cancer

Article Title: Reprogramming of stroma-derived chemokine networks drives the loss of tissue organization in nodal B cell lymphoma

doi: 10.1038/s43018-026-01136-z

Figure Lengend Snippet: a , Left, UMAP of LN stromal cells by entity. Right, percentages of rFRCs and rBECs (rLN n = 5, FL n = 6, DLBCL n = 8 patients). b , Differentially expressed genes between rLN-derived ( n = 2,363 cells) and DLBCL-derived ( n = 2,983 cells) FRCs (adjusted P < 0.05, log(fold change) > 0.5). c , Homeostatic (top) and inflammatory (bottom) chemokine expression in bulk data . d , Pearson correlation of CXCL13 expression and CIBERSORTx-derived FDC fractions. e , CXCL13 plasma protein levels in FL ( n = 18 patients) and DLBCL ( n = 22 patients). Vertical lines indicate the mean per entity. f , Exemplary rLN and DLBCL mIF images, representative of n = 4 patients per entity. Scale bar, 50 μm. Dashed circles: CD21+ regions. g , mIF-derived CXCL13 and CXCR5 signals averaged across four adjacent pairs of CD21 + follicular and CD21 − extrafollicular regions per sample. h , i , Spatial transcriptomics plots of FL-LN ( h ) and DLBCL-LN ( i ) cores colored by cell type and CXCL13 – CXCR5 ligand–receptor (L–R) score. j , mIF-derived enrichment of CXCL13 + cells per cell type in DLBCL versus rLN/FL samples. Asterisks indicate P < 0.01; exact P values are provided in the source data. k , CXCL13 expression in CD8 + T cells ( n = 21,268 cells) . l , Percentage of CXCR5 + cells within CD3 − fractions measured by flow cytometry (rLN n = 7, FL n = 24, DLBCL n = 18 patients). m , Migrated rLN- and DLBCL-derived B cells in the Transwell assay (mean ± s.d., n = 3 patients per condition). For c and d : tonsil n = 10, FL 1/2/3A n = 145, FL 3B n = 48, DLBCL n = 430 patients. For f , g and j : rLN n = 4, FL n = 5, DLBCL n = 4 patients. P values in a , c , e , g and l : two-sided Wilcoxon rank-sum test. P value in m : two-sided unpaired Welch’s t test. P values in j : two-sided Fisher’s exact test. P values in c , g and j were adjusted using the Benjamini–Hochberg method. Box plots: center line, median; box, interquartile range; whiskers, 1.5× the interquartile range; points, data values. FC, fold change; T tox EM, effector memory cytotoxic T cells; hr, human recombinant.

Article Snippet: Sorted cells were seeded in triplicate into the top chambers of 96-well HTS Transwell plates with 8-μm pores (Corning), with the bottom chambers containing either 1 μg ml −1 human recombinant CXCL13 (cat. no. 801-CX-025, R&D Systems) or PBS as a control.

Techniques: Derivative Assay, Expressing, Clinical Proteomics, Spatial Transcriptomics, Flow Cytometry, Transwell Assay, Recombinant

Journal: Nature Cancer

Article Title: Reprogramming of stroma-derived chemokine networks drives the loss of tissue organization in nodal B cell lymphoma

doi: 10.1038/s43018-026-01136-z

Figure Lengend Snippet: ( A ) Heatmap showing estimated cell type fractions as determined using CIBERSORTx (CSx) within a large bulk transcriptomics dataset . ( B ) Box plots depicting CSx fractions of exemplary cell types across disease entities. Boxes indicate the median (center line), interquartile range (bounds) and 1.5x interquartile range (whiskers). Data points represent patient samples. P-values were calculated using two-sided unpaired Welch’s t-test and adjusted according to Benjamini-Hochberg. ( C ) Dot plot showing Spearman correlation coefficients of chemokine expression and cell type fractions. Dot sizes represent -log10 FDR-adjusted p-value of correlation tests. ( D ) Scatter plots color-coded by disease entity correlating CXCL12 (left panel) and CCL21 (right panel) expression with CSx-derived FRC factions. P-values were calculated using Pearson correlation. ( E , F ) Bulk RNA-seq datasets , stratified by FDC abundance into high and low samples using maximally selected rank statistics based on CSx fractions, represented in a Kaplan-Meier curve showing overall survival (left panels; log-rank test) and scatter plot of FDC fractions and CXCL13 expression (right panels; Pearson correlation). T PR =T prol . For panels A – D : tonsil n = 10; FL 1/2/3 A n = 145; FL 3B n = 48; DLBCL n = 430 patients. For panel E : FDC-high n = 61; FDC-low n = 44 patients. For panel F : FDC-high n = 302; FDC-low n = 68 patients.

Article Snippet: Sorted cells were seeded in triplicate into the top chambers of 96-well HTS Transwell plates with 8-μm pores (Corning), with the bottom chambers containing either 1 μg ml −1 human recombinant CXCL13 (cat. no. 801-CX-025, R&D Systems) or PBS as a control.

Techniques: Transcriptomics, Expressing, Derivative Assay, RNA Sequencing

Journal: Nature Cancer

Article Title: Reprogramming of stroma-derived chemokine networks drives the loss of tissue organization in nodal B cell lymphoma

doi: 10.1038/s43018-026-01136-z

Figure Lengend Snippet: ( A ) Representative triangle-thresholded mIF images showing CD21 (top panels) as well as CXCL13 (bottom panels) signal in rLN (n = 4), FL (n = 5) and DLBCL (n = 4) patient samples. Scale bar indicates 50μm. ( B ) UMAP representation of spatial transcriptomics data colored by cell type (color code depicted in panel C ). ( C ) Heatmap showing scaled expression of key marker gene expression as well chemokines. ( D ) Stacked bar plot of FDC/FRC/rFRC fractions (top panel) and violin plot of CXCL13 expression in these subsets (bottom panel). ( E ) Spatial transcriptomics plots of FL (left panels) and DLBCL (right panels) tissue cores colored by cell type (left panels) alongside magnified views of chemokine expression. ( F ) Heatmap showing scaled expression of key T cell markers across CD8 + T cell populations as measured using mIF. ( G ) Box plot showing per-sample percentage of CXCL13 + cells (as determined using Otsu thresholding) among PD1 + CD8 + effector memory T cells in the mIF dataset. Boxes indicate the median (center line), interquartile range (bounds) and 1.5x interquartile range (whiskers). Data points represent patient samples. P-values were calculated using a two-sided unpaired Welch’s t-test. ( H ) Spearman correlation coefficients of key T cell markers across all CD8 + T cell populations (n = 21,268 cells). ( I ) Volcano plot showing differentially expressed genes comparing PD1 + CD8 + effector memory T cell populations (T TOX EM-II n = 2,018; T TOX EM-III n = 9,208 cells). Labels indicate cluster-identifying genes as well as CXCL13 . Abbreviations: T TOX EM = effector memory cytotoxic T cells. For panels A , F , G : rLN n = 4; FL n = 5; DLBCL n = 4 patients. For panels B – E : FL n = 1; DLBCL n = 1 patient.

Article Snippet: Sorted cells were seeded in triplicate into the top chambers of 96-well HTS Transwell plates with 8-μm pores (Corning), with the bottom chambers containing either 1 μg ml −1 human recombinant CXCL13 (cat. no. 801-CX-025, R&D Systems) or PBS as a control.

Techniques: Spatial Transcriptomics, Expressing, Marker, Gene Expression

Journal: Nature Cancer

Article Title: Reprogramming of stroma-derived chemokine networks drives the loss of tissue organization in nodal B cell lymphoma

doi: 10.1038/s43018-026-01136-z

Figure Lengend Snippet: a , UMAP representation of a microarray dataset with homeostatic ( CXCL12 , CXCL13 , CCL19 , CCL21 ) and inflammatory ( CXCL9 , CXCL10 , CXCL11 ) chemokine expression values used as features for dimensionality reduction. Left, UMAP displaying pie charts (within each dot) that represent the k = 20 nearest neighbors, colored according to disease entity. Right, the same UMAP colored according to the mean expression of homeostatic (top) and inflammatory (bottom) chemokines. b , Bulk RNA-seq dataset stratified according to homeostatic chemokine expression into high ( n = 519 patients) and low ( n = 99 patients) groups using maximally selected rank statistics, shown as a dot plot (top) and a Kaplan–Meier curve of overall survival (bottom). The P value was calculated using the log-rank test. c , Forest plot summarizing log 10 -transformed hazard ratios (center), 95% confidence intervals (error bars) and Wald-derived P values estimated from univariate Cox proportional hazards models assessing the association between homeostatic chemokine expression and overall survival across five individual DLBCL bulk datasets , – . d , Same UMAP as in a , colored by CIBERSORTx-derived FDC fractions. e , Bulk RNA-seq dataset stratified by FDC abundance into high ( n = 255 patients) and low ( n = 364 patients) groups using maximally selected rank statistics based on CIBERSORTx fractions, shown as a Kaplan–Meier curve of overall survival (left; log-rank test) and a scatter plot of log-transformed FDC fractions and CXCL13 expression (right; Pearson correlation). f , Forest plot summarizing log 10 -transformed hazard ratios (center), 95% confidence intervals (error bars) and Wald-derived P values estimated from Cox proportional hazards models assessing the association between FDC fraction and overall survival across five individual DLBCL bulk datasets , – . For panels a and d : tonsil n = 10, FL 1/2/3A n = 145, FL 3B n = 48 and DLBCL n = 430 patients. OS, overall survival; HR, hazard ratio.

Article Snippet: Sorted cells were seeded in triplicate into the top chambers of 96-well HTS Transwell plates with 8-μm pores (Corning), with the bottom chambers containing either 1 μg ml −1 human recombinant CXCL13 (cat. no. 801-CX-025, R&D Systems) or PBS as a control.

Techniques: Microarray, Expressing, RNA Sequencing, Transformation Assay, Derivative Assay